معرفی
Dr. Lea Eisenstein is a postdoctoral researcher at the Institute of Meteorology and Climate Research (IMKTRO), Karlsruhe Institute of Technology (KIT), specializing in extratropical cyclones and mesoscale wind hazards. She focuses on numerical modeling, statistical downscaling, and predictability of extreme weather systems.
- Education: M.Sc. (2018) and B.Sc. (2016) in Meteorology from KIT.
- Affiliations: IMKTRO (KIT), Regional Climate and Weather Hazards group.
Her research combines numerical weather prediction models with machine learning techniques (e.g., random forests) to detect and analyze high-wind features like sting jets in European winter storms. Key projects include 'Waves to Weather' (SFB/TRR 165) and HIWeather, addressing cyclone dynamics and hybrid forecasting systems.
Recent publications emphasize mesoscale wind climatology, 3D frontal structure analysis, and disaster impact studies of storms such as Ylenia and Dudley. She has co-authored peer-reviewed work in Weather and Climate Dynamics and presented at major conferences like the AMS Annual Meeting.
